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DC Field | Value | Language |
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dc.contributor.author | Abdulhamid, Muhammad Shaf'i | - |
dc.contributor.author | Usman, Mubarak Olamide | - |
dc.contributor.author | Ojerinde, Oluwaseun Adeniyi | - |
dc.contributor.author | Adama, Victor Ndako | - |
dc.contributor.author | Alhassan, John K | - |
dc.date.accessioned | 2024-02-10T13:49:24Z | - |
dc.date.available | 2024-02-10T13:49:24Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/26782 | - |
dc.description.abstract | Phishing is a cybercrime that is described as an art of cloning a web page of a legitimate company with the aim of obtaining confidential data of unsuspecting internet users. Recent researches indicates that a number of phishing detection algorithms have been introduced into the cyber space, however, most of them depend on an existing blacklist or whitelist for classification. Therefore, when a new phishing web page is introduced, the detection algorithms find it difficult to correctly classifies it as phishy. In this paper, we put forward a soft computing approach called Artificial Neural Network (ANN) algorithm with confusion matrix analysis for the detection of e-banking phishing websites. The proposed ANN algorithm produces a remarkable percentage accuracy and reduced false positive rate during detection. This shows that, the ANN algorithm with confusion matrix analysis can produce a competitive results that is suitable for detecting phishing in e-banking websites. | en_US |
dc.language.iso | en | en_US |
dc.publisher | i-manager Journal on Computer Science | en_US |
dc.subject | Artificial Neural Network | en_US |
dc.subject | E-banking | en_US |
dc.subject | Soft Computing | en_US |
dc.subject | Intelligent Algorithm | en_US |
dc.subject | Phishing; Websites | en_US |
dc.title | A SOFT COMPUTING APPROACH TO DETECT E-BANKING PHISHING WEBSITES USING ARTIFICIAL NEURAL NETWORK | en_US |
Appears in Collections: | Computer Science |
Files in This Item:
File | Description | Size | Format | |
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2018 A Soft Computing Approach to Detecting E-Banking Phishing Websites using imanagerJCOM.pdf | 1.04 MB | Adobe PDF | View/Open |
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